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基于高层建筑结构实例库的模糊关联规则的研究与应用
Research and Application of Fuzzy Association Rules Based on Highbuilding Structure Databases
【摘要】 关联规则的挖掘是数据挖掘的重要研究内容之一,文章基于高层建筑结构实例库展开对模糊关联规则的研究:针对某些数值类型的属性值,提出了区间模糊划分法,将它们转化为模糊数据;对Apriori算法和支持度计数方式作一定的改进;并举例说明模糊型关联规则在高层建筑结构实例库中的发现。
【Abstract】 Association rules is an important target of Data Mining.Based on highbuilding structure databases,this paper studies fuzzy association rules:in connect with attribute assignment of some type of data in databases,this paper gives division into fuzzy districts to make them into fuzzy data,improves Apriori arithmetic and counting method of degree of support,finally illustrates with examples to mine fuzzy association rules in highbuilding structure databases.
【关键词】 数据挖掘;
模糊关联规则;
区间模糊划分;
支持度;
【Key words】 Data Mining; fuzzy association rules; division into fuzzy districts; degree of support;
【Key words】 Data Mining; fuzzy association rules; division into fuzzy districts; degree of support;
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2004年20期
- 【分类号】TP311.13
- 【下载频次】90